Falcon’s fixed fees matter only if completed matters show the savings

On October 2, 2026, Wim Dejonghe backed the launch of Falcon, an AI-native law firm built around a fixed-fee model. Non-Billable described Dejonghe as a former A&O boss and said Falcon is aimed at companies that have been priced out of Big Law. Legaltech News (Law.com) reported that former A&O and Freshfields lawyers launched AI-native European firms under a project intended to bury the billable hour. The launch therefore puts a finished-work pricing model, rather than another legal technology product, at the center of the announcement.

Hourly billing turns AI productivity into lost revenue when a matter needs less labor but the firm still earns by recording time. Falcon gives that position a direct commercial test: its stated model charges a fixed fee while its work is described as AI-native. That structure puts the economic question ahead of the familiar productivity question. If the work can be completed with less labor, a fixed fee lets the client receive the benefit without requiring the firm to preserve the old revenue connection to hours. The launch also addresses access in the narrow sense reported by Non-Billable: Falcon is aimed at companies priced out of Big Law. The proposition is stronger than a promise that lawyers can work faster because it links efficiency to what the client pays.

The event establishes that Falcon has been launched with a fixed-fee model and that Dejonghe is backing it. It does not establish that Falcon has delivered legal work at a lower cost, completed matters with less labor, or made AI productivity profitable for the firm. Nor does the announcement establish that traditional firms cannot adapt. Legaltech News (Law.com) reports that Falcon’s founders argue the billable hour rewards time spent rather than problems solved, and that this makes it nearly impossible for traditional firms to embrace AI-driven efficiency. That is the founders’ argument, not a demonstrated result. The stronger reading would require completed client matters showing the fee charged, the work delivered, the labor used and the comparable hourly economics. None of those numbers appears in the launch reports. The order of proof matters: a pricing design can expose the weakness of hourly billing, but it cannot by itself show that the new model works.

The next observable test is a Falcon matter reported with a fixed fee, the legal work delivered, the labor required and the client’s comparable cost under hourly billing. A published fee schedule would show whether the model is genuinely selling defined outcomes rather than repackaging time, while a completed-matter count would show whether the launch has moved beyond formation. Evidence that clients pay less as the work requires less labor would strengthen the case that AI-native firms capture productivity for clients. Evidence that the fees track hours, or that no completed matter can be tied to the model, would leave the billable-hour challenge at the level of design. We treat the launch as a meaningful test of pricing, not as proof that fixed fees have already displaced hourly billing.